76 to 100 of 544 R Jobs in England

Integration Services and ADF Experienced in effectively working in a collaborative manner in a large, fast paced environment within a multifunctional technical team Nice to have Languages: PySQL, C#, R Reporting: PowerBI or similar Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub More ❯

Integration Services and ADF Experienced in effectively working in a collaborative manner in a large, fast paced environment within a multifunctional technical team Nice to have Languages: PySQL, C#, R Reporting: PowerBI or similar Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub More ❯

pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to translate data into actionable insights. Experience with contact More ❯

pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to translate data into actionable insights. Experience with contact More ❯

pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to translate data into actionable insights. Experience with contact More ❯

pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to translate data into actionable insights. Experience with contact More ❯

pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to translate data into actionable insights. Experience with contact More ❯

ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps More ❯

visits) What We're Looking For: You'll have: A degree in Computer Science, Software Engineering, Data Science, AI or equivalent (or imminent graduation) Solid programming skills (e.g. Python, R, Java, C++ or other modern language) Familiarity (or strong interest) in machine learning, data analytics, modelling, algorithms, or statistical methods Demonstrable experience via projects, coursework or side projects in data More ❯

Science, Artificial Intelligence, Engineering, or a related field. Proven experience in designing, developing, and deploying machine learning models and AI algorithms. Strong proficiency in programming languages such as Python, R, or Java. Solid understanding of data processing, feature engineering, and data analytics. Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers. Strong problem-solving More ❯

and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience is a plus. Experience working with More ❯

equivalent experience) in a numerical/statistical field Proven experience delivering analysis in a policy or regulatory setting Strong communication skills to explain data-driven insights Proficiency in Python, R, SQL, PowerBI and experience with large datasets Collaborative and adaptable working style Desirable: Knowledge of, Git, AzureDevOps, and Agile/DataOps practices.£41k - £52k per year plus benefitsPermanent positionHybrid working More ❯

stakeholder management ability. A data-driven mindset with a passion for improving the customer experience. Desirable: Experience working with loyalty programmes or life cycle analytics. Exposure to Python or R for advanced analysis. THE BENEFITS: Competitive day rate of £400-£450 (inside IR35). Hybrid working (2 days in modern London office). Work with a high-profile global brand More ❯

Support wider transparency and engagement initiatives across the organisation. About You Strong analytical and data science background with experience managing large datasets. Proficiency in analytical tools such as Python, R, SQL, or Power BI. Excellent communication skills - able to explain complex data in a simple, impactful way. Experience collaborating across technical and operational teams. Knowledge of the UK energy market More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or Analytics roles, A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R Experience with A/B testing or experimental design. Experience at applying the right advanced analytics techniques to solve business problem. An ability to translate complex analytical outputs into clear More ❯

degree level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch! We look forward to meeting you. In return, we More ❯

or Analytics roles, A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R Experience with A/B testing or experimental design. Experience at applying the right advanced analytics techniques to solve business problem. An ability to translate complex analytical outputs into clear More ❯

or Analytics roles, A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R Experience with A/B testing or experimental design. Experience at applying the right advanced analytics techniques to solve business problem. An ability to translate complex analytical outputs into clear More ❯

Strong project management skills, with the ability to manage multiple competing priorities in a fast-paced environment. Experience querying data with SQL or using statistical programming languages such as R or Python. Preferred Qualifications Professional certification from WorldatWork (e.g., CCP, GRP). Experience working in a multinational and/or technology organization. Bachelor's degree in a related field (e.g. More ❯

Strong project management skills, with the ability to manage multiple competing priorities in a fast-paced environment. Experience querying data with SQL or using statistical programming languages such as R or Python. Preferred Qualifications Professional certification from WorldatWork (e.g., CCP, GRP). Experience working in a multinational and/or technology organization. Bachelor's degree in a related field (e.g. More ❯

Strong project management skills, with the ability to manage multiple competing priorities in a fast-paced environment. Experience querying data with SQL or using statistical programming languages such as R or Python. Preferred Qualifications Professional certification from WorldatWork (e.g., CCP, GRP). Experience working in a multinational and/or technology organization. Bachelor's degree in a related field (e.g. More ❯

define requirements. The ability to develop and maintain detailed project documentation, including business requirements, process flows, and data models. Proficiency in Data Analysis tools such as SQL, Python and R and the ability to write simple SQL scripts. Strong understanding of LLM. Strong knowledge of Healthcare & Insurance industry regulations and Data privacy standards. Previous experience implementing and managing Data governance More ❯

define requirements. The ability to develop and maintain detailed project documentation, including business requirements, process flows, and data models. Proficiency in Data Analysis tools such as SQL, Python and R and the ability to write simple SQL scripts. Strong understanding of LLM. Strong knowledge of Healthcare & Insurance industry regulations and Data privacy standards. Previous experience implementing and managing Data governance More ❯